A citation-based method for searching scientific literature

Hafiz Mughees Ahmad, Muhammad Jaleed Khan, Adeel Yousaf, Sajid Ghuffar, Khurram Khurshid. Curr Med Imaging 2020
Times Cited: 4







List of co-cited articles
6 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Annual Report to the Nation on the Status of Cancer, part II: Recent changes in prostate cancer trends and disease characteristics.
Serban Negoita, Eric J Feuer, Angela Mariotto, Kathleen A Cronin, Valentina I Petkov, Sarah K Hussey, Vicki Benard, S Jane Henley, Robert N Anderson, Stacey Fedewa,[...]. Cancer 2018
122
50

External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.
Brian N Dontchos, Adam Yala, Regina Barzilay, Justin Xiang, Constance D Lehman. Acad Radiol 2021
5
50

A deep learning method for classifying mammographic breast density categories.
Aly A Mohamed, Wendie A Berg, Hong Peng, Yahong Luo, Rachel C Jankowitz, Shandong Wu. Med Phys 2018
73
50

Deep learning in medical imaging and radiation therapy.
Berkman Sahiner, Aria Pezeshk, Lubomir M Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H Cha, Ronald M Summers, Maryellen L Giger. Med Phys 2019
200
50

A survey on deep learning in medical image analysis.
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez. Med Image Anal 2017
50

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Hoo-Chang Shin, Holger R Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M Summers. IEEE Trans Med Imaging 2016
915
50

Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review.
Syed Jamal Safdar Gardezi, Ahmed Elazab, Baiying Lei, Tianfu Wang. J Med Internet Res 2019
28
25

Cancer statistics, 2020.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2020
25

Breast cancer statistics, 2019.
Carol E DeSantis, Jiemin Ma, Mia M Gaudet, Lisa A Newman, Kimberly D Miller, Ann Goding Sauer, Ahmedin Jemal, Rebecca L Siegel. CA Cancer J Clin 2019
25

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification.
Xin Shu, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi. IEEE Trans Med Imaging 2020
11
25

Deep feature-based automatic classification of mammograms.
Ridhi Arora, Prateek Kumar Rai, Balasubramanian Raman. Med Biol Eng Comput 2020
9
25

Inconsistent Performance of Deep Learning Models on Mammogram Classification.
Xiaoqin Wang, Gongbo Liang, Yu Zhang, Hunter Blanton, Zachary Bessinger, Nathan Jacobs. J Am Coll Radiol 2020
22
25

Mesh-free based variational level set evolution for breast region segmentation and abnormality detection using mammograms.
Kanchan L Kashyap, Manish K Bajpai, Pritee Khanna, George Giakos. Int J Numer Method Biomed Eng 2018
4
25

Deep Convolutional Neural Networks for breast cancer screening.
Hiba Chougrad, Hamid Zouaki, Omar Alheyane. Comput Methods Programs Biomed 2018
78
25

New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
Yiming Gao, Krzysztof J Geras, Alana A Lewin, Linda Moy. AJR Am J Roentgenol 2019
23
25


Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis.
Ravi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, Mark A Helvie, Caleb D Richter. Phys Med Biol 2020
7
25

Res2Net: A New Multi-Scale Backbone Architecture.
Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr. IEEE Trans Pattern Anal Mach Intell 2021
53
25

Deep learning modeling using normal mammograms for predicting breast cancer risk.
Dooman Arefan, Aly A Mohamed, Wendie A Berg, Margarita L Zuley, Jules H Sumkin, Shandong Wu. Med Phys 2020
15
25

Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN).
S Akila Agnes, J Anitha, S Immanuel Alex Pandian, J Dinesh Peter. J Med Syst 2019
16
25

Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.
Yi-Ju Tseng, Chuan-En Huang, Chiao-Ni Wen, Po-Yin Lai, Min-Hsien Wu, Yu-Chen Sun, Hsin-Yao Wang, Jang-Jih Lu. Int J Med Inform 2019
19
25

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare,[...]. Ann Oper Res 2021
15
25

A fuzzy-genetic approach to breast cancer diagnosis.
C A Pena-Reyes, M Sipper. Artif Intell Med 1999
65
25

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.
Francesco Ciompi, Bartjan de Hoop, Sarah J van Riel, Kaman Chung, Ernst Th Scholten, Matthijs Oudkerk, Pim A de Jong, Mathias Prokop, Bram van Ginneken. Med Image Anal 2015
97
25

INbreast: toward a full-field digital mammographic database.
Inês C Moreira, Igor Amaral, Inês Domingues, António Cardoso, Maria João Cardoso, Jaime S Cardoso. Acad Radiol 2012
112
25

Cancer statistics, 2016.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2016
25

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks.
Benjamin Q Huynh, Hui Li, Maryellen L Giger. J Med Imaging (Bellingham) 2016
137
25

Cancer Statistics, 2017.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2017
25

Radiologic errors, past, present and future.
Leonard Berlin. Diagnosis (Berl) 2014
26
25

Breast Cancer Prognosis Using a Machine Learning Approach.
Patrizia Ferroni, Fabio M Zanzotto, Silvia Riondino, Noemi Scarpato, Fiorella Guadagni, Mario Roselli. Cancers (Basel) 2019
32
25


Antibiotic Prescribing for Children in United States Emergency Departments: 2009-2014.
Nicole M Poole, Daniel J Shapiro, Katherine E Fleming-Dutra, Lauri A Hicks, Adam L Hersh, Matthew P Kronman. Pediatrics 2019
40
25

Development of an Automatic Diagnostic Algorithm for Pediatric Otitis Media.
Thi-Thao Tran, Te-Yung Fang, Van-Truong Pham, Chen Lin, Pa-Chun Wang, Men-Tzung Lo. Otol Neurotol 2018
14
25

Clinical Practice Guideline: Otitis Media with Effusion (Update).
Richard M Rosenfeld, Jennifer J Shin, Seth R Schwartz, Robyn Coggins, Lisa Gagnon, Jesse M Hackell, David Hoelting, Lisa L Hunter, Ann W Kummer, Spencer C Payne,[...]. Otolaryngol Head Neck Surg 2016
241
25

Artificial intelligence powers digital medicine.
Alexander L Fogel, Joseph C Kvedar. NPJ Digit Med 2018
81
25


Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.
Wei Luo, Dinh Phung, Truyen Tran, Sunil Gupta, Santu Rana, Chandan Karmakar, Alistair Shilton, John Yearwood, Nevenka Dimitrova, Tu Bao Ho,[...]. J Med Internet Res 2016
262
25

Understanding Parents' Experiences and Information Needs on Pediatric Acute Otitis Media: A Qualitative Study.
Salima Meherali, Alyson Campbell, Lisa Hartling, Shannon Scott. J Patient Exp 2019
14
25

Developing a delivery science for artificial intelligence in healthcare.
Ron C Li, Steven M Asch, Nigam H Shah. NPJ Digit Med 2020
10
25


The diagnosis and management of acute otitis media.
Allan S Lieberthal, Aaron E Carroll, Tasnee Chonmaitree, Theodore G Ganiats, Alejandro Hoberman, Mary Anne Jackson, Mark D Joffe, Donald T Miller, Richard M Rosenfeld, Xavier D Sevilla,[...]. Pediatrics 2013
589
25

Use of Artificial Intelligence in Dermatology.
Abhishek De, Aarti Sarda, Sachi Gupta, Sudip Das. Indian J Dermatol 2020
2
50


Improving adherence to otitis media guidelines with clinical decision support and physician feedback.
Christopher B Forrest, Alexander G Fiks, L Charles Bailey, Russell Localio, Robert W Grundmeier, Thomas Richards, Dean J Karavite, Lisa Elden, Evaline A Alessandrini. Pediatrics 2013
63
25

Objective Evaluation of Otoscopy Skills Among Family and Community Medicine, Pediatric, and Otolaryngology Residents.
Modupe Oyewumi, Michael G Brandt, Brian Carrillo, Adelle Atkinson, Karl Iglar, Vito Forte, Paolo Campisi. J Surg Educ 2016
29
25

Development and Validation of an Assessment Tool for Technical Skills in Handheld Otoscopy.
Mads J Guldager, Jacob Melchiors, Steven Arild Wuyts Andersen. Ann Otol Rhinol Laryngol 2020
4
25


Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database.
Dongchul Cha, Chongwon Pae, Si-Baek Seong, Jae Young Choi, Hae-Jeong Park. EBioMedicine 2019
29
25


Deep Learning: A Primer for Radiologists.
Gabriel Chartrand, Phillip M Cheng, Eugene Vorontsov, Michal Drozdzal, Simon Turcotte, Christopher J Pal, Samuel Kadoury, An Tang. Radiographics 2017
363
25


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.